Open Source PDF Converters

Converseen is a free cross-platform batch image processor for Windows, Linux, macOS, FreeBSD, and other operating systems. It allows you to convert, resize, rotate, and flip an infinite number of images with a single mouse click. Moreover, Converseen can convert an entire PDF document into a set of images with your preferred characteristics. You can choose from over 100+ formats, set the size, resolution, and the filename. Thanks to ImageMagick, the powerful image manipulation library, Converseen can handle more than 100 image formats, including DPX, EXR, GIF, JPEG, JPEG-2000, PNG, SVG, TIFF, WebP, HEIC/HEIF, and many others. Converseen is designed to be user-friendly, fast, practical, and best of all, it’s available for free!

dompdf is an HTML to PDF converter. At its heart, dompdf is (mostly) a CSS 2.1 compliant HTML layout and rendering engine written in PHP. It is a style-driven renderer, it will download and read external stylesheets, inline style tags, and the style attributes of individual HTML elements. It also supports most presentational HTML attributes. PDF rendering is currently provided either by PDFLib or by a bundled version the R&OS CPDF class written by Wayne Munro. (Some important changes have been made to the R&OS class, however). In order to use PDFLib with dompdf, the PDFLib PECL extension is required. Using PDFLib improves performance and reduces the memory requirements of dompdf somewhat, while the R&OS CPDF class, though slightly slower, eliminates any dependencies on external PDF libraries.

MinerU is an open-source, high-quality document extraction toolkit focused on converting PDFs (and other document formats) into structured Markdown and JSON. It leverages OCR and layout analysis to preserve semantic structure and metadata, ideal for research and data science workflows.

borb is a library for creating and manipulating PDF files in python. borb is a pure python library to read, write, and manipulate PDF documents. It represents a PDF document as a JSON-like data structure of nested lists, dictionaries and primitives (numbers, string, booleans, etc) This is currently a one-man project, so the focus will always be to support those use-cases that are more common in favor of those that are rare.